Automatic Image Annotation using Image clustering in Multi – Agent Society

Tags Re-ranking Using Multi-level Features in Automatic Image Annotation

Automatic image annotation is a process in which computer systems automatically assign the textual tags related with visual content to a query image. In most cases, inappropriate tags generated by the users as well as the images without any tags among the challenges available in this field have a negative effect on the query's result. In this paper, a new method is presented for automatic image...

Fuzzy Neighbor Voting for Automatic Image Annotation

With quick development of digital images and the availability of imaging tools, massive amounts of images are created. Therefore, efficient management and suitable retrieval, especially by computers, is one of themost challenging fields in image processing. Automatic image annotation (AIA) or refers to attaching words, keywords or comments to an image or to a selected part of it. In this paper,...

fuzzy neighbor voting for automatic image annotation

with quick development of digital images and the availability of imaging tools, massive amounts of images are created. therefore, efficient management and suitable retrieval, especially by computers, is one of themost challenging fields in image processing. automatic image annotation (aia) or refers to attaching words, keywords or comments to an image or to a selected part of it. in this paper,...

Semantic-Based Image Retrial in the VQ Compressed Domain using Image Annotation Statistical Models

Automatic Image Annotation Using Modified Multi-label Dictionary Learning

Automatic image annotation has attracted lots of research interest, and effective method for image annotation. Find effectively the correlation among labels and images is a critical task for multi-label learning. Most of the existing multi-label learning methods exploit the label correlation only in the output label space, leaving the connection between label and features of images untouched. I...